Prof. Jiangfan Yu
Assistant Professor, School of Science and Engineering（理工学院助理教授）
Adjunct Assistant Professor, School of Medicine（医学院兼职助理教授）
Director, AIRS Micro-nanorobotics Center（深圳市人工智能与机器人研究院，微纳机器人研究中心主任）
PI of National Key R&D Program of China, Young Scientist Program （国家重点研发计划青年首席科学家）
National High-level Young Scientist（国家高层次青年人才）
CUHK-SZ Presidential Young Fellow（香港中文大学深圳校长青年学者）
2022 Baidu Global Chinese Young Scholar in AI（百度全球华人AI青年学者）
Email : firstname.lastname@example.org
Contact : Office 409, Cheng-Dao Building, CUHK-SZ
Tel : (+86) 235-19582
Prof. Yu is currently an Assistant Professor and Presidential Young Fellow in School of Science and Engineering, an Adjunct Assistant Professor in School of Medicine, CUHK-SZ. He is also the Director of the Research Center on Microrobotics, Shenzhen Institute of AI and Robotics for Society (AIRS). He leads projects granted from NSFC, MOST, Department of Science and Technology of Guangdong Province, Shenzhen Science and Technology Innovation Committee. He is National High-level Young Scientist, the PI of National Key R&D Program of China (Young Scientist Program), and a member of Chinese Society of Micro-Nano Technology, Micro-Nanorobotics Branch (中国微米纳米技术学会，微纳米机器人分会理事) and Micro-Nanoactuators Branch (微纳执行器分会理事).
Prof. Yu's research interests mainly focus on micro/nanorobotics, including their fundamental modelling, actuation strategy, motion and reconfiguration control, and biomedical applications. He has published over 60 top journal and international conference papers, including Science Advances, Nature Communications, IJRR, T-Ro, T-Mech, Science Robotics and ACS Nano. Several of his journal papers have been indexed as ESI highly cited papers, and have been highlighted in Science, Nature and international press reports, such as CNN. He has also published 2 monographs, 1 edited book and 1 book chapter.
Prof. Yu has won impactful awards, including the Second Prize of Wu Wen Jun AI Science & Technology Award (吴文俊人工智能科学技术奖自然科学奖二等奖), Baidu Global Chinese Young Scholar in AI (百度全球华人AI青年学者), IEEE RCAR Best Paper Award Finalist 2023, IEEE 3M-NANO Rising Star Award 2023, Nature Communications Top 50 physics articles, T-Mech best paper award finalist 2020 and 2023, Forbes China 30 under 30, CUHK Postgraduate Research Output Award, Hong Kong Young Scientist Award shortlist. He serves as an associate editor for IEEE RA-L and several International Conferences, and a reviewer for top journals and conferences, including Science Robotics, Science Advances, T-Ro, and T-Mech.